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作者： Cao, Xian-Bin Qiao, Hong Keane, John IEEE Department of Computer Science and Technology University of Science and Technology of China Hefei 230026 China Anhui Province Key Laboratory of Software in Computing and Communication Hefei 230026 China Laboratory of Complex Systems and Intelligent Science Institute of Automation Chinese Academy of Sciences Beijing 100080 China School of Informatics University of Manchester M60 1QD Manchester United Kingdom University of Manchester M13 9PL Manchester United Kingdom

The ultimate purpose of a pedestrian-detection system (PDS) is to reduce pedestrian-vehicle-related injury. Most such systems tend to adopt expensive sensors, such as infrared devices, in expectation of better performance. In comparison, a low-cost optical-camera-based system has much potential practical value, including a greater detection range, and can easily be trained to detect other objects. However, such low-cost systems are difficult to design (e.g., little original information can be collected, and the scene is very complex). To address these problems, an effective and reliable classifier is needed. The classifier should have a proper structure, its features need to be well selected, and a large number of high-quality samples are necessary for training. In this paper, we present a low-cost PDS which only uses a single optical camera. We design a cascade classifier to achieve an effective and reliable detection. First, our system scans two sequential frames at each zoom scale with a sliding window. Second, with each window, both appearance and motion features are extracted. A well-trained cascade classifier, combining statistical learning with a decomposed support-vector-machine classifier, then determines whether the window contains a human body. At the same time, to provide as much information as possible about the pedestrian, a small-scale weighted template tree trained by a coevolutionary algorithm is adopted to identify each pedestrian's direction, and the distance of each from the vehicle is also provided using an estimation algorithm. During the training procedure, we select key features by using the AdaBoost algorithm and a large number of high-quality samples. Experimental results demonstrate that the system is suitable for pedestrian detection in city traffic: The detection speed is more than 10 ft/s, the detection rate reaches 80%, and the false positive rate is no more than 0.3‰. © 2008 IEEE.

关键词： Pedestrian safety

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The self-adaption strategy for parameter ε in ε-MOEA

The self-adaption strategy for parameter ε in ε-MOEA

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Congress on Evolutionary computation

作者： Min Zhang Wenjian Luo Xingxin Pei Xufa Wang Nature Inspired Computing and Application Laboratory Department of Computer Science and Technology University of Science and Technology China Anhui Key Laboratory of software in Computing Communication University of Science and Technology China University of Science and Technology of China Hefei Anhui CN Nature Inspired Computing and Application Laboratory Department of Computer Science and Technology of China University of Science and Technology China

A novel self-adaption strategy for the parameter epsiv in epsiv-MOEA is proposed in this paper based on the analyses of the relationship between the value of epsiv and the maximum number of non-dominated solutions. Then this novel strategy is applied in epsiv-MOEA and tested on 10 common benchmark functions. The experimental results demonstrate that even if without the good initial value for the parameter s, epsiv-MOEA with this self-adaption strategy (named Algorithm 1) is able to approximately obtain the expected number of non-dominated solutions, which are very close to and uniformly distributed on the Pareto-optimal front. Furthermore, the genetic drift phenomenon in Algorithm 1 is discussed Two cases of genetic drift are pointed out, and one case can be fixed up by a simple approach proposed in this paper.

关键词： Evolutionary computation

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Scheduling Aircraft Landing Based on Clonal Selection Algorithm and Receding Horizon Control

Scheduling Aircraft Landing Based on Clonal Selection Algori...

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International Conference on Intelligent Transportation

作者： Xiaolan Jia Xianbin Cao Yuanping Guo Hong Qiao Jun Zhang Province Key Laboratory of Software Computing and Communication University of Science and Technology Hefei Anhui China University of Manchester Institute of Science and Technology UK Institute of Automation Chinese Academy and Sciences Beijing China School of Electronic and Information Engineering Beihang University Beijing China

The task of aircraft landing scheduling (ALS) is to give a landing sequence and landing times for a given set of aircrafts where many constraints must be satisfied. ALS is an NP-hard problem with large-scale and multi-constraint characteristics, thus it is hard to find optimal solution efficiently. In this paper, a hybrid algorithm of Clonal Selection Algorithm (CSA) and Receding Horizon Control (RHC) was proposed for ALS problem. In details, constrained CSA based on infeasibility degree (IFD) schedules aircrafts in current receding horizon, and then RHC repeats that optimization procedure using excellent gene segment spread (EGSS) until all aircrafts have landed. Comparative experiments show that the CSA-RHC hybrid algorithm is able to obtain an optimal landing sequence and landing times rapidly and effectively.

关键词： Aircraft Aerospace control Scheduling algorithm Air traffic control Processor scheduling computational intelligence Sequences Intelligent transportation systems Linear programming Constraint optimization

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Local reputation for P2P MMOG design

Local reputation for P2P MMOG design

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18th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2007

作者： Shanshan, Liu Jinlong, Li Xufa, Wang Anhui Key Laboratory of Software in Computation and Communication Computer Science Department University of Science and Technology of China

ISBN: (纸本)0769530494

The assignment of the computation and communication is one of the important problems in the design of peer-to-peer (P2P) Massively Multi-player Online Game (MMOG). A reputation mechanism for P2P MMOG is proposed in this paper to avoid the problems in P2P design. The communications among peers are described by whether the messages are received timely and correctly in the process of synchronization, and then the reliabilities of peers are quantified. The concept of local reputation is proposed, based on which the adaptive adjusting algorithm for the function of peers and the algorithm for getting update peer selecting reliable computing peers are brought forward to assign the computation and communication of the system. According to the experiments, the algorithms are effective for the distribution of the computation and communication. © 2007 IEEE.

关键词： Peer to peer networks

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An Optimized Hierarchical Classifier for Pedestrian Detection

An Optimized Hierarchical Classifier for Pedestrian Detectio...

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7th World Congress on Intelligent Control and Automation (WCICA 2008), vol.3

作者： Yanwu Xu Xianbin Cao Hong Qiao Department of Computer Science and Technology University of Science and Technology Hefei China Anhui Province Key Laboratory of Software Computing and Communication Hefei China Institute of Automation Chinese Academy and Sciences Beijing China

Classification is an essential technology in Pedestrian Detection System (PDS). Until now, single-classifier and basic cascaded classifier had been widely used in PDS;however, most of them can hardly satisfy the 3 requirements at the same time: high detection speed, high detection rate and low false positive rate. In this paper, we proposed an optimized hierarchical classifier which can satisfy the 3 requirements. The proposed method adopted Corse-to-fine and Early-rejection principles to achieve global high performance. It consists of two hierarchies, the first one is used to quickly reject non-pedestrian objects and select out only a few candidates;the second one makes further verification to these candidates. Furthermore, each hierarchy was optimized with statistical models basing on experiments;and each hierarchy is a treelike classifier which has specific optimization demands. At last, an overall performance evaluation standard is proposed, and the experimental results showed that the proposed classifier had better overall performance.

关键词： Pedestrian detection Hierarchical classifier AdaBoost

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Cellular signal transduction network simulation based on microscopic agent model

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Xitong Fangzhen Xuebao / Journal of System Simulation 2008年第17期20卷 4703-4707页

作者： Shao, Chen-Xi Deng, Hong-Li Yang, Ming Wang, Zi-Cai Department of Computer Science and Technology University of Science and Technology of China Hefei 230027 China Control and Simulation Center Harbin Institute of Technology Harbin 150001 China Anhui Province Key Laboratory of Software in Computing and Communication Hefei 230027 China

A hierarchical MAS (multi-agent system) based on a multi-level discrete space and microscopic agent model for signal transduction network modeling and simulation was proposed. The space can effectively represent the heterogeneous cellular space, and is adaptable for systemic expansion. Moreover, the different deformations of one molecular species are packed in one mesoscopic molecule-agent, so that the global complexity is handled by the local state-space, reducing the external communications and computational complexity. The results from simulating two feedback models of MAPK (Mitogen-Activated Protein Kinase) pathway are similar to those of chemical kinetic model, showing the validity of this method.

关键词： Agent Cellular signal transduction Complex system Discrete space Microscopic level

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Secure Two-Party Point-Circle Inclusion Problem

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Journal of Computer Science & Technology 2007年第1期22卷 88-91页

作者：罗永龙黄刘生仲红 Department of Computer Science University of Science and Technology of China Hefei 230027 China Department of Computer Science Anhui Normal University Wuhu 241000 China Anhui Province Key laboratory of Software in Computing and Communication Hefei 230027 China

Privacy-preserving computational geometry is a special secure multi-party computation and has many applications. Previous protocols for determining whether a point is inside a circle are not secure enough. We present a two-round protocol for computing the distance between two private points and develop a more efficient protocol for the point-circle inclusion problem based on the distance protocol. In comparison with previous solutions, our protocol not only is more secure but also reduces the number of communication rounds and the number of modular multiplications significantly.

关键词： secure multi-party computation computational geometry homomorphic encryption scheme private comparison

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A novel approach for signal transduction networks simulation at a mesoscopic level

A novel approach for signal transduction networks simulation...

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7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE

作者： Shao, Chenxi Deng, Hongli MOE-Microsoft Key Laboratory of Multimedia Computing and Communication University of Science and Technology of China Hefei Anhui 230027 China Department of Computer Science and Technology University of Science and Technology of China Hefei Anhui 230027 China Anhui Province Key Laboratory of Software in Computing and Communication Hefei Anhui 230027 China

ISBN: (纸本)1424415098

Signal transduction (ST) networks simulation is important to medical research. However, owing to the complexity of the networks, most methods presented for the simulation are not desirable. Here, based on multi-agent system (MAS), we proposed a novel approach characterized by a multi-level discrete space and mesoscopic molecule-agents for describing ST networks at a mesoscopic level. The space is developed for the representation of the cellular space;it provides a relatively sufficient spatial representation with less computational cost. The mesoscopic molecule-agents model the active components within the networks, which will offer new potentials to overcome the combinatorial complexity as well as make computation feasible. To validate this method, the simulations of a composition/decomposition system and the Mitogen-Activated Protein Kinase (MAPK) signal transduction pathway are implemented. Finally, an in-silico experiment with perturbation in the MAPK pathway is made. The results obtained from the simulations demonstrate the validity of the approach. ©2007 IEEE.

关键词： Molecules

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Nonlinear characteristics and qualitative analysis of sleep EEG

Nonlinear characteristics and qualitative analysis of sleep ...

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2007 1st International Conference on Bioinformatics and Biomedical Engineering, ICBBE

作者： Shao, Chenxi Fan, Jinfeng Li, Shaobin Department of Computer Science and Technology USTC Anhui Province Key Laboratory of Software in Computing and Communication Hefei Anhui 230027 China Department of Computer Science and Technology USTC Hefei Anhui 230027 China

ISBN: (纸本)1424411203

Correlation dimension (CD) and the largest Lyapunov exponent (LLE), which are two most important nonlinear invariant measures of nonlinear system, are adopted to characterize the complexity and stability of human brain during all sleep stages. In order to And an optimal embedding to reconstruct phase space, the C-C method and Cao's algorithm were thoroughly analyzed and implemented in efficient ways. Additionally, the G-P algorithm and Kantz's algorithm are also implemented for calculation of CD and LLE respectively. Eight normal sleep EEG records are acquired from MIT-BIH sleep-EDF database for this study. The values of CD and LLE for 30s epochs are calculated, and their mean and standard deviation values are evaluated as well. The results indicate that CD and LLE decrease from the waking stage to stages I, II and III-IV, and they have large values during rapid eye movement (REM) sleep stage. Then, a qualitative conclusion may be drawn that during waking stage and REM sleep stage, brain activity has higher complexity and lower stability than during other stages. © 2007 IEEE.

关键词： Electroencephalography

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An efficient synchronisation protocol for wireless sensor network

An efficient synchronisation protocol for wireless sensor ne...

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作者： Huang, Liusheng Xu, Hongli Wan, Yingyu Wu, Junmin Li, Hong Department of Computer Science and Technology University of Science and Technology of China Anhui Province Key Laboratory of Software in Computing and Communication Hefei 230027 China

Time synchronisation is a critical topic in wireless sensor networks for its wide applications, such as data fusion, TDMA scheduling and cooperated sleeping, etc. In this paper, we present an Accurate Time Synchronisation (ATS) protocol based on linear least square for sensor networks. Unlike the previous protocols, all nodes aren't synchronised to some reference nodes or sink node, but to a virtual clock. Moreover, each pair of the nodes is synchronised to each other. The main advantages of ATS are simplicity and accuracy. Especially, the variance of the synchronised drift error is less than Dsδ/ 2β 2, where Ds, δ and β are the depth of the network, the maximal variance of the link delay and the sampling interval, respectively. The experiments show that ATS protocol has achieved at least 37% performance enhancement than the previous pairwise algorithm. Copyright © 2007 Inderscience Enterprises Ltd.

关键词： Synchronization

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